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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    the interjection "hey"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hey"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.77
    20439
    -0.74
    ":["
    -0.71
    士
    -0.71
    pedia
    -0.70
     Citation
    -0.68
     contracted
    -0.68
    RAW
    -0.65
    Emb
    -0.64
    Capital
    -0.63
    POSITIVE LOGITS
     hey
    1.18
     prest
    1.16
    hey
    0.90
    creen
    0.77
     Hey
    0.75
    eah
    0.71
    giving
    0.71
    oho
    0.71
    oka
    0.70
     pardon
    0.69
    Activations Density 0.009%

    No Known Activations